Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Network and Bat-Based Particle Filter

Remaining Useful Life Prediction of Lithium-Ion Batteries Using Neural Network and Bat-Based Particle Filter

Predicting the remaining useful life (RUL) is an effective way to indicate the health of lithium-ion batteries, which can help to improve the reliability and safety of battery-powered systems. To predict the RUL, the line of research focuses on using the empirical degradation model followed by the p...

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Bibliographic Details
Main Authors: Yi Wu, Wei Li, Youren Wang, Kai Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Lithium-ion batteries
neural network
capacity degradation
remaining useful life prediction
bat algorithm
particle filter
Online Access:https://ieeexplore.ieee.org/document/8698866/

Internet

https://ieeexplore.ieee.org/document/8698866/

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